/// <summary>
/// Open any datasets that were used by the input layer.
/// </summary>
private void OpenDataSet()
{
// clear out any data sets already there
_readDataSet.Clear();
_dataSetFieldMap.Clear();
_dataSetIteratorMap.Clear();
// only add each iterator once
IDictionary<IMLDataSet, MLDataFieldHolder> uniqueSets = new Dictionary<IMLDataSet, MLDataFieldHolder>();
// find the unique files
foreach (IInputField field in _inputFields)
{
if (field is InputFieldMLDataSet)
{
var dataSetField = (InputFieldMLDataSet)field;
IMLDataSet dataSet = dataSetField.NeuralDataSet;
if (!uniqueSets.ContainsKey(dataSet))
{
IEnumerator<IMLDataPair> iterator = dataSet
.GetEnumerator();
var holder = new MLDataFieldHolder(
iterator, dataSetField);
uniqueSets[dataSet] = holder;
_readDataSet.Add(iterator);
}
MLDataFieldHolder holder2 = uniqueSets[dataSet];
_dataSetFieldMap[dataSetField] = holder2;
_dataSetIteratorMap[holder2.GetEnumerator()] = holder2;
}
}
}
private void OpenDataSet()
{
this._readDataSet.Clear();
this._dataSetFieldMap.Clear();
this._dataSetIteratorMap.Clear();
IDictionary<IMLDataSet, MLDataFieldHolder> dictionary = new Dictionary<IMLDataSet, MLDataFieldHolder>();
using (IEnumerator<IInputField> enumerator2 = this._inputFields.GetEnumerator())
{
IInputField field;
InputFieldMLDataSet set;
IMLDataSet neuralDataSet;
IEnumerator<IMLDataPair> enumerator;
MLDataFieldHolder holder;
MLDataFieldHolder holder2;
goto Label_006B;
Label_0036:
holder2 = dictionary[neuralDataSet];
this._dataSetFieldMap[set] = holder2;
this._dataSetIteratorMap[holder2.GetEnumerator()] = holder2;
goto Label_006B;
Label_0063:
if (field is InputFieldMLDataSet)
{
goto Label_00B5;
}
Label_006B:
if (!enumerator2.MoveNext() && (0 == 0))
{
return;
}
goto Label_00CB;
Label_007C:
holder = new MLDataFieldHolder(enumerator, set);
dictionary[neuralDataSet] = holder;
Label_008F:
this._readDataSet.Add(enumerator);
goto Label_0036;
Label_009E:
if (dictionary.ContainsKey(neuralDataSet))
{
goto Label_0036;
}
enumerator = neuralDataSet.GetEnumerator();
goto Label_00D5;
Label_00B5:
set = (InputFieldMLDataSet) field;
if (0 == 0)
{
neuralDataSet = set.NeuralDataSet;
if (0 != 0)
{
goto Label_008F;
}
}
goto Label_009E;
Label_00CB:
field = enumerator2.Current;
goto Label_0063;
Label_00D5:
if (0 == 0)
{
goto Label_007C;
}
goto Label_0036;
}
}
